Wykaz publikacji wybranego autora

Michał Karwatowski, mgr inż.

asystent

Faculty of Computer Science, Electronics and Telecommunications
WIEiT-ke

  • 2023

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / automatyka, elektronika, elektrotechnika i technologie kosmiczne (25%)

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / automatyka, elektronika i elektrotechnika (25%)

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-6285-136X orcid iD

ResearcherID: ISA-6516-2023

Scopus: 57189294331

PBN: 5e70938d878c28a0473ac8d5

System Informacyjny AGH (SkOs)

Liczba pozycji spełniających powyższe kryteria selekcji: 50, z ogólnej liczby 50 publikacji Autora

1
  • A blockchain service for science data safety
2
  • A custom co-processor for the discovery of low autocorrelation binary sequences
3
  • A study of parallel techniques for dimensionality reduction and its impact on the quality of text processing algorithms
4
  • A system for the content based scientific literature retrieval
5
  • A system for the fast and accurate cytology images annotation
6
  • Accelerated computing heterogeneous cluster
7
  • Advances in the system for the automatic dogs’ skin cancer detection
8
  • Boosting FPGA efficiency with modified representation of data
9
  • Canine age classification using convolutional neural network
10
  • Canine age classification using Deep Learning as a step toward preventive medicine in animals
11
  • Classification of images of cytological samples for the purposes of initial analysis
12
  • Comparison of GPU and CPU implementations of new variants of SDLS algorithms for LABS problem
13
  • Comparison of one and two-step deep learning models for cytology image classification
14
  • Comparison of semantic vectors with reduced precision using the cosine similarity measure
15
  • Compressing sentiment analysis CNN models for efficient hardware processing
16
  • Cosine similarity metric calculation on low power heterogeneous computing platform
17
  • Deep learning classification of cytology images with uncertain training data
18
  • Detection of electronic components for mobile applications
19
  • Documents similarity calculation in the low-power cluster
20
  • Dog gait assessment using temporal graph neural networks
21
  • Energy efficient calculations of text similarity measure on FPGA-accelerated computing platforms
22
  • Energy efficient calculations of text similarity measure on FPGA-accelerated computing platforms
23
  • Fast compression and optimization of deep learning models for natural language processing
24
  • Fast pre-diagnosis of neoplastic changes in cytology images using machine learning
25
  • FPGA acceleration of text similarity measure with gracefully reduced vector precision